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The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability

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arXiv:2605. 30628v1 Announce Type: new Abstract: Universal LLM reliability is not a finite-library problem: across all possible tasks, tools, schemas, knowledge sources, and evaluator expectations, new intervention-distinguishable failure modes can appear without bound, so no finite intervention dictionary can guarantee bounded residual error for every such mode.

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Authors: Mikhail L. Arbuzov, Lee Mosbacker, Sisong Bei, Ziwei Dong, Dmitri Kalaev, Alexey Shvets
Released: 2026-06-01 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: code, text, under, eval, source, token, line, rate. Source: arxiv cs.CL (NLP).
arXiv: 2605.30628

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